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Record W6999986973

Early Interventional Treatments for Patients with Cancer Pain: A Narrative Review

2023· article· en· W6999986973 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsCancerNarrative reviewCancer painMcGill Pain QuestionnairePalliative carePain controlAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Uri Hochberg,1 Pablo Ingelmo,2– 4 Ester Solé,5 Jordi Miró,5,6 Gonzalo Rivera,7,8 Jordi Perez2,3,9 1Pain Institute of the Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; 2Alan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada; 3Edwards Family Interdisciplinary Centre for Complex Pain, Montreal Children’s Hospital McGill University Health Centre, Montreal, Quebec, Canada; 4Research Institute, McGill University Health Center, Montreal, Quebec, Canada; 5Universitat Rovira i Virgili, Tarragona, Spain; 6Chair in Pediatric Pain, Center for Behavior Assessment (CRAMC), Department of Psychology, Institut d’Investigació Sanitària Pere Virgili, Tarragona, Spain; 7Hospital de Niños Luis Calvo Mackenna, Santiago de Chile, Chile; 8Clínica las Condes, Santiago de Chile, Chile; 9Cancer Pain Clinic, Cedars Cancer Center, McGill University Health Centre, Montreal, Quebec, CanadaCorrespondence: Jordi Perez, Cancer Pain Clinic, Cedars Cancer Centre, Royal Victoria Hospital, McGill University Health Centre, D2-1995, 1001 Boul, Decarie, Montreal, H4A 3J1, Canada, Tel +1 514 934 4502, Fax +1 514 934 8415, Email Jordi.perez@mcgill.caAbstract: Between 10% and 20% of patients with cancer-related pain cannot achieve adequate control following the three-step ladder guidelines by the World Health Organization. Therefore, a “fourth step”, including interventional approaches, has been suggested for those cases. Systematic reviews support the early use of interventional procedures to treat refractory cancer pain, control symptoms and prevent opioid dose escalation. There is strong evidence of the efficacy of celiac plexus or splanchnic neurolysis, vertebroplasty, kyphoplasty and intrathecal drug delivery. Those procedures have been found to be associated with a decrease in the symptom burden and opioid consumption, improved quality of life, and suggested as having a potentially positive impact on survival. Several studies have recommended using specific interventional techniques at earlier stages, possibly even when opioid treatment is first being considered. Conversely, leaving these options as a last analgesic resource might not be advisable since the burden these procedures might impose on too ill patients is significant. The objective of this review was to collect the available evidence published on the use of interventional treatments for refractory cancer pain with a particular interest in comparing early versus late indications. The results of the search demonstrated a very low number and quality of articles particularly addressing this question. This scarce number of evidence precluded performing a systematic analysis. A detailed and narrative description of the potential benefits of integrating interventional techniques into clinical guidelines at the early stages of the disease is provided.Keywords: cancer pain, interventional pain, neurolysis, cement augmentation, intrathecal drug delivery, early, timing

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.221
GPT teacher head0.559
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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